March 18 - 21 | San Jose, CA

Thank you for visiting with us at NVIDIA GTC this year as a Platinum-level sponsor. Our experts showed you how Cisco AI/ML and data center solutions can elevate your business and drive the power of your data anywhere.

NVIDIA GTC is the premier global AI and deep learning conference for developers providing training and direct access to the latest topics in computing. We look forward to seeing you again in 2020.

Artificial Intelligence and Machine Learning

AI/ML is the foundation of the cognitive era of IT. The Cisco AI/ML computing solution delivers valuable insights, proven solutions and increased productivity.

SESSIONS

Tuesday, March 19

Thursday, March 21

Tuesday, March 19

Session ID: S91019

Accelerate, Scale, and Operationalize Data Pipelines

Speaker: Han Yang, PhD, Cisco AI/ML Product Manager

Are you doing data science at scale? Do you need a cluster of GPUs to help you accelerate machine learning training and inferencing? Does your data pipeline extend beyond the walls of the data center to remote office, retail stores, or IoT sensors? Come to this session to understand how Cisco infrastructure can support your data pipeline from ends of the earth, to the data center, and even to the cloud with technologies such as:

•NGC on Red Hat OpenShift

•NGC on Hortonworks

•Kubeflow

You will find out how infrastructure performance, scale, and flexibility can help you to accelerate, scale, and operationalize your data pipeline.

The industry-standard graphics performance benchmark tool, SPECviewperf 13, provides valuable insight on GRID profile and Tesla graphic card selection for virtualizing high-performance graphics applications. Learn how Cisco technical marketing engineers evaluate performance of converged and hyperconverged platforms with the full spectrum of NVIDIA Tesla GPUs on eight key applications on the two leading desktop broker vendors. We will share our methodology for scoring grid profile/Tesla GPU/server hardware platform combinations for each application in the performance tool. We'll also present our sizing recommendations for these widely used products based on the application user type.